Overview

Brought to you by YData

Dataset statistics

Number of variables10
Number of observations1088433
Missing cells69428
Missing cells (%)0.6%
Duplicate rows67013
Duplicate rows (%)6.2%
Total size in memory952.3 MiB
Average record size in memory917.4 B

Variable types

Text8
Categorical2

Alerts

Dataset has 67013 (6.2%) duplicate rowsDuplicates
estado is highly overall correlated with rubroHigh correlation
rubro is highly overall correlated with estadoHigh correlation
estado is highly imbalanced (97.1%) Imbalance
rubro has 17357 (1.6%) missing values Missing
clase has 17357 (1.6%) missing values Missing
item has 17357 (1.6%) missing values Missing
estado has 17357 (1.6%) missing values Missing

Reproduction

Analysis started2025-05-26 23:24:08.392463
Analysis finished2025-05-26 23:26:14.326647
Duration2 minutes and 5.93 seconds
Software versionydata-profiling vv4.15.1
Download configurationconfig.json

Variables

Distinct66213
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size93.9 MiB
2025-05-26T20:26:15.216972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length43
Median length42
Mean length33.42683
Min length29

Characters and Unicode

Total characters36382865
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24177 ?
Unique (%)2.2%

Sample

1st rowEX-2016-01358346- -APN-DDMYA#SGP
2nd rowEX-2016-01358346- -APN-DDMYA#SGP
3rd rowEX-2016-01358346- -APN-DDMYA#SGP
4th rowEX-2016-00549712- -APN-DPYS#SGP
5th rowEX-2016-00549712- -APN-DPYS#SGP
ValueCountFrequency (%)
apn-dcon#faa 48361
 
2.2%
apn-cbmv#ea 25601
 
1.2%
apn-dcyf#ea 21883
 
1.0%
apn-cbmxi#ea 20704
 
1.0%
apn-jema#ara 19412
 
0.9%
apn-coan#ara 17265
 
0.8%
apn-dgit#ara 17151
 
0.8%
apn-daf#emco 17004
 
0.8%
apn-dged#ara 16760
 
0.8%
apn-cbmxii#ea 16353
 
0.8%
Other values (66786) 1956372
89.9%
2025-05-26T20:26:16.952475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5442165
15.0%
3265299
 
9.0%
2 2857380
 
7.9%
A 2663258
 
7.3%
0 2231091
 
6.1%
E 1773805
 
4.9%
1 1692250
 
4.7%
N 1594936
 
4.4%
P 1231249
 
3.4%
X 1149133
 
3.2%
Other values (27) 12482299
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36382865
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 5442165
15.0%
3265299
 
9.0%
2 2857380
 
7.9%
A 2663258
 
7.3%
0 2231091
 
6.1%
E 1773805
 
4.9%
1 1692250
 
4.7%
N 1594936
 
4.4%
P 1231249
 
3.4%
X 1149133
 
3.2%
Other values (27) 12482299
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36382865
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 5442165
15.0%
3265299
 
9.0%
2 2857380
 
7.9%
A 2663258
 
7.3%
0 2231091
 
6.1%
E 1773805
 
4.9%
1 1692250
 
4.7%
N 1594936
 
4.4%
P 1231249
 
3.4%
X 1149133
 
3.2%
Other values (27) 12482299
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36382865
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 5442165
15.0%
3265299
 
9.0%
2 2857380
 
7.9%
A 2663258
 
7.3%
0 2231091
 
6.1%
E 1773805
 
4.9%
1 1692250
 
4.7%
N 1594936
 
4.4%
P 1231249
 
3.4%
X 1149133
 
3.2%
Other values (27) 12482299
34.3%
Distinct69696
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size74.9 MiB
2025-05-26T20:26:17.980024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length17
Median length16
Mean length15.205189
Min length13

Characters and Unicode

Total characters16549830
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27702 ?
Unique (%)2.5%

Sample

1st row23-0011-LPR16
2nd row23-0011-LPR16
3rd row23-0011-LPR16
4th row23-0015-LPU16
5th row23-0015-LPU16
ValueCountFrequency (%)
92-0015-cdi18 2619
 
0.2%
72-0071-lpu19 1436
 
0.1%
84/21-0781-lpr21 1173
 
0.1%
142-0082-cdi17 1109
 
0.1%
84/21-1180-lpr19 1080
 
0.1%
84/21-0118-lpu20 1069
 
0.1%
72-0070-lpu19 1043
 
0.1%
999-0004-lpu20 1009
 
0.1%
84/5-0236-lpr21 1008
 
0.1%
84/19-2037-lpr20 944
 
0.1%
Other values (69686) 1075943
98.9%
2025-05-26T20:26:19.736377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2176866
13.2%
0 2108245
12.7%
1 1690512
10.2%
2 1582003
9.6%
4 1057763
 
6.4%
8 1024990
 
6.2%
/ 800503
 
4.8%
3 778038
 
4.7%
P 773842
 
4.7%
L 770798
 
4.7%
Other values (12) 3786270
22.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16549830
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 2176866
13.2%
0 2108245
12.7%
1 1690512
10.2%
2 1582003
9.6%
4 1057763
 
6.4%
8 1024990
 
6.2%
/ 800503
 
4.8%
3 778038
 
4.7%
P 773842
 
4.7%
L 770798
 
4.7%
Other values (12) 3786270
22.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16549830
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 2176866
13.2%
0 2108245
12.7%
1 1690512
10.2%
2 1582003
9.6%
4 1057763
 
6.4%
8 1024990
 
6.2%
/ 800503
 
4.8%
3 778038
 
4.7%
P 773842
 
4.7%
L 770798
 
4.7%
Other values (12) 3786270
22.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16549830
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 2176866
13.2%
0 2108245
12.7%
1 1690512
10.2%
2 1582003
9.6%
4 1057763
 
6.4%
8 1024990
 
6.2%
/ 800503
 
4.8%
3 778038
 
4.7%
P 773842
 
4.7%
L 770798
 
4.7%
Other values (12) 3786270
22.9%
Distinct1188
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size64.4 MiB
2025-05-26T20:26:20.914618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length100
Median length5
Mean length5.0190981
Min length5

Characters and Unicode

Total characters5462952
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique890 ?
Unique (%)0.1%

Sample

1st row2.3.4
2nd row2.3.4
3rd row2.9.1
4th row3.5.1
5th row3.5.1
ValueCountFrequency (%)
2.9.6 154671
 
14.2%
2.9.2 85464
 
7.8%
2.9.3 75995
 
7.0%
2.1.1 71883
 
6.6%
2.9.1 58371
 
5.3%
2.9.5 57724
 
5.3%
2.7.5 46717
 
4.3%
2.5.1 38915
 
3.6%
2.5.2 38675
 
3.5%
2.5.5 33224
 
3.0%
Other values (1247) 431092
39.5%
2025-05-26T20:26:22.757575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2173736
39.8%
2 1142121
20.9%
9 580869
 
10.6%
3 401117
 
7.3%
5 344075
 
6.3%
1 325857
 
6.0%
6 187106
 
3.4%
4 130919
 
2.4%
7 112674
 
2.1%
8 35890
 
0.7%
Other values (72) 28588
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5462952
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 2173736
39.8%
2 1142121
20.9%
9 580869
 
10.6%
3 401117
 
7.3%
5 344075
 
6.3%
1 325857
 
6.0%
6 187106
 
3.4%
4 130919
 
2.4%
7 112674
 
2.1%
8 35890
 
0.7%
Other values (72) 28588
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5462952
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 2173736
39.8%
2 1142121
20.9%
9 580869
 
10.6%
3 401117
 
7.3%
5 344075
 
6.3%
1 325857
 
6.0%
6 187106
 
3.4%
4 130919
 
2.4%
7 112674
 
2.1%
8 35890
 
0.7%
Other values (72) 28588
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5462952
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 2173736
39.8%
2 1142121
20.9%
9 580869
 
10.6%
3 401117
 
7.3%
5 344075
 
6.3%
1 325857
 
6.0%
6 187106
 
3.4%
4 130919
 
2.4%
7 112674
 
2.1%
8 35890
 
0.7%
Other values (72) 28588
 
0.5%
Distinct104898
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size72.5 MiB
2025-05-26T20:26:23.947321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length16
Median length15
Mean length12.848388
Min length5

Characters and Unicode

Total characters13984610
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28635 ?
Unique (%)2.6%

Sample

1st row2.3.4-783.40
2nd row2.3.4-786.59
3rd row2.9.1-6956.92
4th row3.5.1-4971.1
5th row3.5.1-4971.1
ValueCountFrequency (%)
3.3.2-5266.21 8676
 
0.8%
3.3.9-8881.1 6552
 
0.6%
2.5.5-570.34 5251
 
0.5%
3.3.3-5075.1 4404
 
0.4%
4.5.0-8693.34 4053
 
0.4%
3.3.3-1627.36 3483
 
0.3%
3.3.5-1688.1 3051
 
0.3%
3.3.2-2162.59 2766
 
0.3%
3.5.3-2165.1 2711
 
0.2%
3.4.2-2909.1 2295
 
0.2%
Other values (104888) 1045191
96.0%
2025-05-26T20:26:25.873641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3262602
23.3%
2 1806982
12.9%
1 1393559
10.0%
9 1173699
 
8.4%
- 1086800
 
7.8%
6 962088
 
6.9%
3 959506
 
6.9%
5 942011
 
6.7%
4 711734
 
5.1%
8 625797
 
4.5%
Other values (3) 1059832
 
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13984610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 3262602
23.3%
2 1806982
12.9%
1 1393559
10.0%
9 1173699
 
8.4%
- 1086800
 
7.8%
6 962088
 
6.9%
3 959506
 
6.9%
5 942011
 
6.7%
4 711734
 
5.1%
8 625797
 
4.5%
Other values (3) 1059832
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13984610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 3262602
23.3%
2 1806982
12.9%
1 1393559
10.0%
9 1173699
 
8.4%
- 1086800
 
7.8%
6 962088
 
6.9%
3 959506
 
6.9%
5 942011
 
6.7%
4 711734
 
5.1%
8 625797
 
4.5%
Other values (3) 1059832
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13984610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 3262602
23.3%
2 1806982
12.9%
1 1393559
10.0%
9 1173699
 
8.4%
- 1086800
 
7.8%
6 962088
 
6.9%
3 959506
 
6.9%
5 942011
 
6.7%
4 711734
 
5.1%
8 625797
 
4.5%
Other values (3) 1059832
 
7.6%
Distinct103686
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size181.2 MiB
2025-05-26T20:26:27.360494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length211
Median length162
Mean length96.299209
Min length6

Characters and Unicode

Total characters104815237
Distinct characters110
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27647 ?
Unique (%)2.5%

Sample

1st rowTOALLAS DE PAPEL - MATERIAL: PAPEL, GRAMAJE: SIN VALOR, DIMENSION: 22,8 (ANCHO) Cm, COLOR: BLANCO, PRESENTACION: ROLLO
2nd rowPAPEL HIGIENICO - PRESENTACION: PAQUETE X 8 UN, TIPO: S/CORTE DE HOJA, HOJA: SIN VALOR, ANCHO: 10 Cm, LARGO: 500 M, MATERIAL HOJA: SIN VALOR, TIPO DE HOJA: SIN VALOR
3rd rowARTICULOS DE TOCADOR - TIPO: JABON LIQUIDO, PRESENTACION: ENVASE X 400 mL
4th rowSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR
5th rowSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR
ValueCountFrequency (%)
1201116
 
7.6%
de 662260
 
4.2%
tipo 493802
 
3.1%
x 381420
 
2.4%
presentacion 339917
 
2.1%
material 299873
 
1.9%
sin 297170
 
1.9%
y 252549
 
1.6%
envase 189952
 
1.2%
mm 185371
 
1.2%
Other values (40389) 11549509
72.9%
2025-05-26T20:26:29.339634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14775274
14.1%
A 8844512
 
8.4%
E 8234576
 
7.9%
O 7724388
 
7.4%
I 6396016
 
6.1%
R 5832809
 
5.6%
C 4787085
 
4.6%
N 4682731
 
4.5%
T 4605562
 
4.4%
S 4477096
 
4.3%
Other values (100) 34455188
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104815237
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14775274
14.1%
A 8844512
 
8.4%
E 8234576
 
7.9%
O 7724388
 
7.4%
I 6396016
 
6.1%
R 5832809
 
5.6%
C 4787085
 
4.6%
N 4682731
 
4.5%
T 4605562
 
4.4%
S 4477096
 
4.3%
Other values (100) 34455188
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104815237
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14775274
14.1%
A 8844512
 
8.4%
E 8234576
 
7.9%
O 7724388
 
7.4%
I 6396016
 
6.1%
R 5832809
 
5.6%
C 4787085
 
4.6%
N 4682731
 
4.5%
T 4605562
 
4.4%
S 4477096
 
4.3%
Other values (100) 34455188
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104815237
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14775274
14.1%
A 8844512
 
8.4%
E 8234576
 
7.9%
O 7724388
 
7.4%
I 6396016
 
6.1%
R 5832809
 
5.6%
C 4787085
 
4.6%
N 4682731
 
4.5%
T 4605562
 
4.4%
S 4477096
 
4.3%
Other values (100) 34455188
32.9%
Distinct9830
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size71.4 MiB
2025-05-26T20:26:30.832644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length25
Median length23
Mean length11.812839
Min length4

Characters and Unicode

Total characters12857484
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5627 ?
Unique (%)0.5%

Sample

1st row2.640,00
2nd row2.400,00
3rd row2.400,00
4th row81.000,00
5th row9.000,00
ValueCountFrequency (%)
unidad 948208
44.1%
1,00 182856
 
8.5%
2,00 112201
 
5.2%
servicio 111759
 
5.2%
10,00 82415
 
3.8%
5,00 59436
 
2.8%
4,00 55077
 
2.6%
20,00 51920
 
2.4%
3,00 51051
 
2.4%
6,00 34964
 
1.6%
Other values (7669) 460152
21.4%
2025-05-26T20:26:32.768497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2710624
21.1%
D 1896599
14.8%
I 1171731
9.1%
, 1086799
8.5%
1061606
 
8.3%
A 949664
 
7.4%
U 948213
 
7.4%
N 948213
 
7.4%
1 439876
 
3.4%
2 284934
 
2.2%
Other values (27) 1359225
10.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12857484
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2710624
21.1%
D 1896599
14.8%
I 1171731
9.1%
, 1086799
8.5%
1061606
 
8.3%
A 949664
 
7.4%
U 948213
 
7.4%
N 948213
 
7.4%
1 439876
 
3.4%
2 284934
 
2.2%
Other values (27) 1359225
10.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12857484
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2710624
21.1%
D 1896599
14.8%
I 1171731
9.1%
, 1086799
8.5%
1061606
 
8.3%
A 949664
 
7.4%
U 948213
 
7.4%
N 948213
 
7.4%
1 439876
 
3.4%
2 284934
 
2.2%
Other values (27) 1359225
10.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12857484
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2710624
21.1%
D 1896599
14.8%
I 1171731
9.1%
, 1086799
8.5%
1061606
 
8.3%
A 949664
 
7.4%
U 948213
 
7.4%
N 948213
 
7.4%
1 439876
 
3.4%
2 284934
 
2.2%
Other values (27) 1359225
10.6%

rubro
Categorical

High correlation  Missing 

Distinct49
Distinct (%)< 0.1%
Missing17357
Missing (%)1.6%
Memory size78.6 MiB
REPUESTOS
152036 
LIBRERIA,PAP. Y UTILES OFICINA
131261 
PROD. MEDICO/FARMACEUTICOS/LAB
99297 
FERRETERIA
97185 
ELECTRICIDAD Y TELEFONIA
77421 
Other values (44)
513876 

Length

Max length30
Median length27
Mean length19.002597
Min length7

Characters and Unicode

Total characters20353226
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowELEMENTOS DE LIMPIEZA
2nd rowELEMENTOS DE LIMPIEZA
3rd rowELEMENTOS DE LIMPIEZA
4th rowSERV. PROFESIONAL Y COMERCIAL
5th rowSERV. PROFESIONAL Y COMERCIAL

Common Values

ValueCountFrequency (%)
REPUESTOS 152036
14.0%
LIBRERIA,PAP. Y UTILES OFICINA 131261
12.1%
PROD. MEDICO/FARMACEUTICOS/LAB 99297
9.1%
FERRETERIA 97185
 
8.9%
ELECTRICIDAD Y TELEFONIA 77421
 
7.1%
ALIMENTOS 72839
 
6.7%
ELEMENTOS DE LIMPIEZA 64829
 
6.0%
MANT. REPARACION Y LIMPIEZA 47920
 
4.4%
SERV. PROFESIONAL Y COMERCIAL 44365
 
4.1%
QUIMICOS 39723
 
3.6%
Other values (39) 244200
22.4%

Length

2025-05-26T20:26:33.408237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
y 395896
 
16.2%
repuestos 152036
 
6.2%
oficina 137439
 
5.6%
utiles 132181
 
5.4%
libreria,pap 131261
 
5.4%
limpieza 112749
 
4.6%
prod 99297
 
4.1%
medico/farmaceuticos/lab 99297
 
4.1%
de 97418
 
4.0%
ferreteria 97185
 
4.0%
Other values (69) 995394
40.6%

Most occurring characters

ValueCountFrequency (%)
E 2425027
11.9%
I 2131769
 
10.5%
A 1734087
 
8.5%
R 1504437
 
7.4%
1379077
 
6.8%
O 1292526
 
6.4%
S 1112156
 
5.5%
T 1108302
 
5.4%
C 1007215
 
4.9%
L 991339
 
4.9%
Other values (18) 5667291
27.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20353226
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 2425027
11.9%
I 2131769
 
10.5%
A 1734087
 
8.5%
R 1504437
 
7.4%
1379077
 
6.8%
O 1292526
 
6.4%
S 1112156
 
5.5%
T 1108302
 
5.4%
C 1007215
 
4.9%
L 991339
 
4.9%
Other values (18) 5667291
27.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20353226
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 2425027
11.9%
I 2131769
 
10.5%
A 1734087
 
8.5%
R 1504437
 
7.4%
1379077
 
6.8%
O 1292526
 
6.4%
S 1112156
 
5.5%
T 1108302
 
5.4%
C 1007215
 
4.9%
L 991339
 
4.9%
Other values (18) 5667291
27.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20353226
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 2425027
11.9%
I 2131769
 
10.5%
A 1734087
 
8.5%
R 1504437
 
7.4%
1379077
 
6.8%
O 1292526
 
6.4%
S 1112156
 
5.5%
T 1108302
 
5.4%
C 1007215
 
4.9%
L 991339
 
4.9%
Other values (18) 5667291
27.8%

clase
Text

Missing 

Distinct5656
Distinct (%)0.5%
Missing17357
Missing (%)1.6%
Memory size77.0 MiB
2025-05-26T20:26:34.402175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length30
Median length21
Mean length17.227904
Min length2

Characters and Unicode

Total characters18452394
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique465 ?
Unique (%)< 0.1%

Sample

1st rowTOALLAS DE PAPEL
2nd rowPAPEL HIGIENICO
3rd rowARTICULOS DE TOCADOR
4th rowSERV. TRANSPORTE DE PERSONAS
5th rowSERV. TRANSPORTE DE PERSONAS
ValueCountFrequency (%)
de 227325
 
8.8%
y 179541
 
7.0%
rep 104385
 
4.0%
acc 91447
 
3.5%
papeles 33299
 
1.3%
mant 30996
 
1.2%
r 30492
 
1.2%
p/camiones 26022
 
1.0%
a 23591
 
0.9%
p/vehiculo 21472
 
0.8%
Other values (5427) 1810127
70.2%
2025-05-26T20:26:35.769718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1952650
 
10.6%
E 1852921
 
10.0%
S 1510259
 
8.2%
1507621
 
8.2%
O 1350828
 
7.3%
R 1202788
 
6.5%
I 1171330
 
6.3%
C 1085407
 
5.9%
T 910490
 
4.9%
L 827787
 
4.5%
Other values (34) 5080313
27.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18452394
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 1952650
 
10.6%
E 1852921
 
10.0%
S 1510259
 
8.2%
1507621
 
8.2%
O 1350828
 
7.3%
R 1202788
 
6.5%
I 1171330
 
6.3%
C 1085407
 
5.9%
T 910490
 
4.9%
L 827787
 
4.5%
Other values (34) 5080313
27.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18452394
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 1952650
 
10.6%
E 1852921
 
10.0%
S 1510259
 
8.2%
1507621
 
8.2%
O 1350828
 
7.3%
R 1202788
 
6.5%
I 1171330
 
6.3%
C 1085407
 
5.9%
T 910490
 
4.9%
L 827787
 
4.5%
Other values (34) 5080313
27.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18452394
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 1952650
 
10.6%
E 1852921
 
10.0%
S 1510259
 
8.2%
1507621
 
8.2%
O 1350828
 
7.3%
R 1202788
 
6.5%
I 1171330
 
6.3%
C 1085407
 
5.9%
T 910490
 
4.9%
L 827787
 
4.5%
Other values (34) 5080313
27.5%

item
Text

Missing 

Distinct96519
Distinct (%)9.0%
Missing17357
Missing (%)1.6%
Memory size173.9 MiB
2025-05-26T20:26:37.056283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length813
Median length438
Mean length96.79638
Min length8

Characters and Unicode

Total characters103676280
Distinct characters110
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22498 ?
Unique (%)2.1%

Sample

1st rowTOALLAS DE PAPEL - MATERIAL: PAPEL, GRAMAJE: SIN VALOR, DIMENSION: 22,8 (ANCHO) Cm, COLOR: BLANCO, PRESENTACION: ROLLO
2nd rowPAPEL HIGIENICO - PRESENTACION: PAQUETE X 8 UN, TIPO: S/CORTE DE HOJA, HOJA: SIN VALOR, ANCHO: 10 Cm, LARGO: 500 M, MATERIAL HOJA: SIN VALOR, TIPO DE HOJA: SIN VALOR
3rd rowARTICULOS DE TOCADOR - TIPO: JABON LIQUIDO, PRESENTACION: ENVASE X 400 mL
4th rowSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR
5th rowSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR
ValueCountFrequency (%)
1065216
 
6.9%
de 656085
 
4.2%
tipo 486477
 
3.1%
x 379868
 
2.4%
presentacion 338098
 
2.2%
sin 314502
 
2.0%
material 298320
 
1.9%
y 248068
 
1.6%
envase 188914
 
1.2%
mm 186534
 
1.2%
Other values (38342) 11388452
73.2%
2025-05-26T20:26:39.142365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14490108
14.0%
A 8769997
 
8.5%
E 8167233
 
7.9%
O 7653995
 
7.4%
I 6364539
 
6.1%
R 5791483
 
5.6%
C 4736462
 
4.6%
N 4679666
 
4.5%
T 4567428
 
4.4%
S 4457161
 
4.3%
Other values (100) 33998208
32.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 103676280
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14490108
14.0%
A 8769997
 
8.5%
E 8167233
 
7.9%
O 7653995
 
7.4%
I 6364539
 
6.1%
R 5791483
 
5.6%
C 4736462
 
4.6%
N 4679666
 
4.5%
T 4567428
 
4.4%
S 4457161
 
4.3%
Other values (100) 33998208
32.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 103676280
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14490108
14.0%
A 8769997
 
8.5%
E 8167233
 
7.9%
O 7653995
 
7.4%
I 6364539
 
6.1%
R 5791483
 
5.6%
C 4736462
 
4.6%
N 4679666
 
4.5%
T 4567428
 
4.4%
S 4457161
 
4.3%
Other values (100) 33998208
32.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 103676280
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14490108
14.0%
A 8769997
 
8.5%
E 8167233
 
7.9%
O 7653995
 
7.4%
I 6364539
 
6.1%
R 5791483
 
5.6%
C 4736462
 
4.6%
N 4679666
 
4.5%
T 4567428
 
4.4%
S 4457161
 
4.3%
Other values (100) 33998208
32.8%

estado
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing17357
Missing (%)1.6%
Memory size65.3 MiB
Activo
1067873 
sin datos
 
3203

Length

Max length9
Median length6
Mean length6.0089714
Min length6

Characters and Unicode

Total characters6436065
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowActivo
2nd rowActivo
3rd rowActivo
4th rowActivo
5th rowActivo

Common Values

ValueCountFrequency (%)
Activo 1067873
98.1%
sin datos 3203
 
0.3%
(Missing) 17357
 
1.6%

Length

2025-05-26T20:26:39.694990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-26T20:26:40.150883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
activo 1067873
99.4%
sin 3203
 
0.3%
datos 3203
 
0.3%

Most occurring characters

ValueCountFrequency (%)
t 1071076
16.6%
o 1071076
16.6%
i 1071076
16.6%
c 1067873
16.6%
A 1067873
16.6%
v 1067873
16.6%
s 6406
 
0.1%
n 3203
 
< 0.1%
3203
 
< 0.1%
d 3203
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6436065
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
t 1071076
16.6%
o 1071076
16.6%
i 1071076
16.6%
c 1067873
16.6%
A 1067873
16.6%
v 1067873
16.6%
s 6406
 
0.1%
n 3203
 
< 0.1%
3203
 
< 0.1%
d 3203
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6436065
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
t 1071076
16.6%
o 1071076
16.6%
i 1071076
16.6%
c 1067873
16.6%
A 1067873
16.6%
v 1067873
16.6%
s 6406
 
0.1%
n 3203
 
< 0.1%
3203
 
< 0.1%
d 3203
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6436065
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
t 1071076
16.6%
o 1071076
16.6%
i 1071076
16.6%
c 1067873
16.6%
A 1067873
16.6%
v 1067873
16.6%
s 6406
 
0.1%
n 3203
 
< 0.1%
3203
 
< 0.1%
d 3203
 
< 0.1%

Correlations

2025-05-26T20:26:40.435227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
estadorubro
estado1.0001.000
rubro1.0001.000

Missing values

2025-05-26T20:25:58.536133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-26T20:26:02.037906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-26T20:26:07.298972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

num_expedientenum_procesoobjeto_del_gastocodigo_del_itemdescripcioncantidadrubroclaseitemestado
0EX-2016-01358346- -APN-DDMYA#SGP23-0011-LPR162.3.42.3.4-783.40TOALLAS DE PAPEL - MATERIAL: PAPEL, GRAMAJE: SIN VALOR, DIMENSION: 22,8 (ANCHO) Cm, COLOR: BLANCO, PRESENTACION: ROLLO2.640,00ELEMENTOS DE LIMPIEZATOALLAS DE PAPELTOALLAS DE PAPEL - MATERIAL: PAPEL, GRAMAJE: SIN VALOR, DIMENSION: 22,8 (ANCHO) Cm, COLOR: BLANCO, PRESENTACION: ROLLOActivo
1EX-2016-01358346- -APN-DDMYA#SGP23-0011-LPR162.3.42.3.4-786.59PAPEL HIGIENICO - PRESENTACION: PAQUETE X 8 UN, TIPO: S/CORTE DE HOJA, HOJA: SIN VALOR, ANCHO: 10 Cm, LARGO: 500 M, MATERIAL HOJA: SIN VALOR, TIPO DE HOJA: SIN VALOR2.400,00ELEMENTOS DE LIMPIEZAPAPEL HIGIENICOPAPEL HIGIENICO - PRESENTACION: PAQUETE X 8 UN, TIPO: S/CORTE DE HOJA, HOJA: SIN VALOR, ANCHO: 10 Cm, LARGO: 500 M, MATERIAL HOJA: SIN VALOR, TIPO DE HOJA: SIN VALORActivo
2EX-2016-01358346- -APN-DDMYA#SGP23-0011-LPR162.9.12.9.1-6956.92ARTICULOS DE TOCADOR - TIPO: JABON LIQUIDO, PRESENTACION: ENVASE X 400 mL2.400,00ELEMENTOS DE LIMPIEZAARTICULOS DE TOCADORARTICULOS DE TOCADOR - TIPO: JABON LIQUIDO, PRESENTACION: ENVASE X 400 mLActivo
3EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR81.000,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
4EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR9.000,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
5EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR50.000,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
6EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR10.800,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
7EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR1.200,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
8EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR10.800,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
9EX-2016-00549712- -APN-DPYS#SGP23-0015-LPU163.5.13.5.1-4971.1SERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALOR1.200,00SERV. PROFESIONAL Y COMERCIALSERV. TRANSPORTE DE PERSONASSERV. TRANSPORTE DE PERSONAS - DESCRIPCION: SERV. TRASLADO DE PERSONAS, ACCESORIOS: SIN VALOR, ACCESORIO: SIN VALORActivo
num_expedientenum_procesoobjeto_del_gastocodigo_del_itemdescripcioncantidadrubroclaseitemestado
1088423EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN1,00 SERVICIOMANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo
1088424EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-9517.3SERV. ALINEACION Y BALANCEO - DESCRIPCION: SERV. ALINEACION Y BALANCEO, CRITERIO SOCIAL: SIN1,00 SERVICIOSERV. PROFESIONAL Y COMERCIALSERV. ALINEACION Y BALANCEOSERV. ALINEACION Y BALANCEO - DESCRIPCION: SERV. ALINEACION Y BALANCEO, CRITERIO SOCIAL: SINActivo
1088425EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-9517.3SERV. ALINEACION Y BALANCEO - DESCRIPCION: SERV. ALINEACION Y BALANCEO, CRITERIO SOCIAL: SIN2,00 SERVICIOSERV. PROFESIONAL Y COMERCIALSERV. ALINEACION Y BALANCEOSERV. ALINEACION Y BALANCEO - DESCRIPCION: SERV. ALINEACION Y BALANCEO, CRITERIO SOCIAL: SINActivo
1088426EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN1,00 SERVICIOMANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo
1088427EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN1,00 SERVICIOMANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo
1088428EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN1,00 SERVICIOMANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo
1088429EX-2022-82199786- -APN-CAE#EA84/7-1289-LPR223.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN1,00 SERVICIOMANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo
1088430EX-2022-94849636- -APN-DCYF#EA84/77-0160-CDI224.3.94.3.9-3098.6RECEPTORES SATELITALES - TIPO: PORTATIL, USO: COMUNICACION6,00 UNIDADEQUIPOSRECEPTORES SATELITALESRECEPTORES SATELITALES - TIPO: PORTATIL, USO: COMUNICACIONActivo
1088431EX-2022-86079882- -APN-SGAYF#INCAA87-0054-CDI223.2.93.2.9-2621.1ALQ. DE UTILES P/EVENTO - DESCRIPCION: ALQUILER DE UTILES P/EVENTOS1,00 SERVICIOALQUILERALQ. DE UTILES P/EVENTOALQ. DE UTILES P/EVENTO; DESCRIPCION: ALQUILER DE UTILES P/EVENTOSActivo
1088432EX-2022-82329158- -APN-DCYC#MDS95-0049-CDI223.4.13.4.1-2414.1S. DE CONSULTORIA - DESCRIPCION: SERVICIO DE CONSULTORIA1,00 SERVICIOSERV. PROFESIONAL Y COMERCIALS. DE CONSULTORIAS. DE CONSULTORIA - DESCRIPCION: SERVICIO DE CONSULTORIAActivo

Duplicate rows

Most frequently occurring

num_expedientenum_procesoobjeto_del_gastocodigo_del_itemdescripcioncantidadrubroclaseitemestado# duplicates
7193EX-2018-50218927- -APN-DCIB#BNMM92-0015-CDI184.5.04.5.0-8693.34LIBROS COLECCIONABLES - TEMATICA: SIN VALOR1,00 UNIDADLIBRERIA,PAP. Y UTILES OFICINALIBROS COLECCIONABLESLIBROS COLECCIONABLES - TEMATICA: SIN VALORActivo2560
2056EX-2017-22839767- -APN-DCYC#MCT142-0082-CDI174.5.04.5.0-8693.34LIBROS COLECCIONABLES - TEMATICA: SIN VALOR1,00 UNIDADLIBRERIA,PAP. Y UTILES OFICINALIBROS COLECCIONABLESLIBROS COLECCIONABLES - TEMATICA: SIN VALORActivo854
25627EX-2020-18013564- -APN-ONC#JGM999-0004-LPU203.3.33.3.3-1627.301MANT. Y REPAR. MATAFUEGO - DESCRIPCION: MANT. Y REPAR. MATAFUEGO, CRITERIO SOCIAL: DECRETO 312/20101.000,00MANT. REPARACION Y LIMPIEZAMANT. Y REPAR. MATAFUEGOMANT. Y REPAR. MATAFUEGO - DESCRIPCION: MANT. Y REPAR. MATAFUEGO, CRITERIO SOCIAL: DECRETO 312/2010Activo504
13998EX-2019-40417762- -APN-UNITRANSGEN#GNA37/118-0016-LPU193.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN2,00 SERVICIOMANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo441
275EX-2016-03133011- -APN-ONC#MM999-0002-LPU173.2.23.2.2-4499.1ALQ. DE BAÑO QUIMICO - ALQUILER BAÑO QUIMICO1,00ALQUILERALQ. DE BAÑO QUIMICOALQ. DE BAÑO QUIMICO; ALQUILER BAÑO QUIMICOActivo288
276EX-2016-03133011- -APN-ONC#MM999-0047-LPU163.2.23.2.2-4499.1ALQ. DE BAÑO QUIMICO - ALQUILER BAÑO QUIMICO1,00ALQUILERALQ. DE BAÑO QUIMICOALQ. DE BAÑO QUIMICO; ALQUILER BAÑO QUIMICOActivo288
8581EX-2018-67463332- -APN-DBB#DNV46/1-0346-LPR183.3.23.3.2-5266.21MANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SIN1,00MANT. REPARACION Y LIMPIEZAMANT. Y REP. DE VEHICULOSMANT. Y REP. DE VEHICULOS - DESCRIPCION: MANT. Y REP. DE VEHICULOS, CRITERIO SOCIAL: SINActivo275
5356EX-2018-36481765- -APN-DSAYF#SENASA52-0010-LPU183.5.63.5.6-7427.1SERV. DE INTERNET - DESCRIPCION: SERVICIO DE INTERNET24,00 SERVICIOSERVICIOS BASICOSSERV. DE INTERNETSERV. DE INTERNET - DESCRIPCION: SERVICIO DE INTERNETActivo270
1071EX-2017-10704509- -APN-ONC#MM999-0014-LPU174.3.64.3.6-6160.200COMPUTADORAS - TIPO: DE ESCRITORIO AVANZADA, CODIGO ETAP: PC-004, VERSION ETAP: 22.01,00INFORMATICACOMPUTADORASCOMPUTADORAS - TIPO: DE ESCRITORIO AVANZADA, CODIGO ETAP: PC-004, VERSION ETAP: 22.0Activo258
25628EX-2020-18013564- -APN-ONC#JGM999-0004-LPU203.3.93.3.9-8881.1RECARGA DE MATAFUEGO - DESCRIPCION: RECARGA DE MATAFUEGO1.000,00SERV. PROFESIONAL Y COMERCIALS. DE RECARGA DE MATAFUEGORECARGA DE MATAFUEGO - DESCRIPCION: RECARGA DE MATAFUEGOActivo252